In 2022, the average annual pay of employees in Florida totaled to 66,262 U.S. dollars. This is both an increase from the previous year, and from 2001 levels when this figure stood at 31,553 U.S. dollars.

Graph and download economic data for Estimate of Median Household Income for Florida (MHIFL12000A052NCEN) from 1989 to 2023 about FL, households, median, income, and USA.

In 2023, the median household income in Florida amounted to 72,200 U.S. dollars. This is an increase from the previous year, when the median household income in the state was 65,370 U.S. dollars. Data for the median income in the United States as a whole can be found here.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Florida City. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Florida City. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Florida City, the median household income stands at $57,857 for householders within the 25 to 44 years age group, followed by $46,306 for the 45 to 64 years age group. Notably, householders within the 65 years and over age group, had the lowest median household income at $33,462.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Florida City median household income by age. You can refer the same here

Median Household Income in Florida was 72200.00000 Current $ in January of 2023, according to the United States Federal Reserve. Historically, Median Household Income in Florida reached a record high of 72200.00000 in January of 2023 and a record low of 19790.00000 in January of 1984. Trading Economics provides the current actual value, an historical data chart and related indicators for Median Household Income in Florida - last updated from the United States Federal Reserve on March of 2025.

In 2023, the per capita disposable personal income in Florida stood at 60,972 U.S. dollars. This is a significant increase from the previous year, when the per capita disposable income in the state stood at 55,635 U.S. dollars.

About this dataset

Context

The dataset illustrates the median household income in Florida, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2023, the median household income for Florida increased by $4,750 (7.09%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 9 years and declined for 4 years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Florida median household income. You can refer the same here

Graph and download economic data for Average Hourly Earnings of All Employees: Total Private in Florida (SMU12000000500000003) from Jan 2007 to Jan 2025 about earnings, hours, FL, private, employment, and USA.

In 2023, the per capita personal income in Florida was 68,703 U.S. dollars. This measure of income is calculated as the personal income of the residents of a given area divided by the resident population of the area.

The fair market monthly rent in Florida for a two-bedroom apartment was 1,591 U.S. dollars in 2024. Only renters who earn the area median income (AMI) can afford this housing in Florida. Rent affordable to renters with full-time jobs at mean renter wage or 30 percent area median income was lower than the fair market rent of a two-bedroom apartment and one-bedroom apartment in Florida, making housing in this state not affordable for them. The rent in Florida ranks tenth among all other states in the United States for a two bedroom apartment.

The Average Salary chart presents a clear visualization of the salary progression for graduates from University of South Florida from 2020 to 2023, illustrating the yearly average salary trends. Additionally, the chart compares these figures with the overall average salary trends of graduates from all schools, providing a comprehensive view of how University of South Florida’s graduates stand in terms of earning potential relative to their peers nationwide. This data is crucial for prospective students assessing the ROI of their education at University of South Florida.

Graph and download economic data for Estimate of Median Household Income for Pinellas County, FL (MHIFL12103A052NCEN) from 1989 to 2023 about Pinellas County, FL; Tampa; FL; households; median; income; and USA.

The Average Salary chart presents a clear visualization of the salary progression for graduates from Florida Institute of Ultrasound Inc from 2020 to 2023, illustrating the yearly average salary trends. Additionally, the chart compares these figures with the overall average salary trends of graduates from all schools, providing a comprehensive view of how Florida Institute of Ultrasound Inc’s graduates stand in terms of earning potential relative to their peers nationwide. This data is crucial for prospective students assessing the ROI of their education at Florida Institute of Ultrasound Inc.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Jacksonville. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Jacksonville. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Jacksonville, householders within the 45 to 64 years age group have the highest median household income at $79,914, followed by those in the 25 to 44 years age group with an income of $70,515. Meanwhile householders within the 65 years and over age group report the second lowest median household income of $49,627. Notably, householders within the under 25 years age group, had the lowest median household income at $43,077.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Jacksonville median household income by age. You can refer the same here

The Average Salary chart presents a clear visualization of the salary progression for graduates from Seminole State College of Florida from 2020 to 2023, illustrating the yearly average salary trends. Additionally, the chart compares these figures with the overall average salary trends of graduates from all schools, providing a comprehensive view of how Seminole State College of Florida’s graduates stand in terms of earning potential relative to their peers nationwide. This data is crucial for prospective students assessing the ROI of their education at Seminole State College of Florida.

The Average Salary chart presents a clear visualization of the salary progression for graduates from Florida National University-Main Campus from 2020 to 2023, illustrating the yearly average salary trends. Additionally, the chart compares these figures with the overall average salary trends of graduates from all schools, providing a comprehensive view of how Florida National University-Main Campus’s graduates stand in terms of earning potential relative to their peers nationwide. This data is crucial for prospective students assessing the ROI of their education at Florida National University-Main Campus.

The Average Salary chart presents a clear visualization of the salary progression for graduates from Florida School of Massage from 2020 to 2023, illustrating the yearly average salary trends. Additionally, the chart compares these figures with the overall average salary trends of graduates from all schools, providing a comprehensive view of how Florida School of Massage’s graduates stand in terms of earning potential relative to their peers nationwide. This data is crucial for prospective students assessing the ROI of their education at Florida School of Massage.

This layer shows median household income by race and by age of householder. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Median income and income source is based on income in past 12 months of survey. This layer is symbolized to show median household income. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B19013B, B19013C, B19013D, B19013E, B19013F, B19013G, B19013H, B19013I, B19049, B19053Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

Graph and download economic data for Average Weekly Wages for Employees in Private Establishments in Cape Coral-Fort Myers, FL (MSA) (ENUC159840510) from Q1 1990 to Q3 2024 about Cape Coral, establishments, average, FL, wages, private, employment, and USA.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Tampa. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Tampa, the median income for all workers aged 15 years and older, regardless of work hours, was $45,917 for males and $33,550 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 27% between the median incomes of males and females in Tampa. With women, regardless of work hours, earning 73 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Tampa.

- Full-time workers, aged 15 years and older: In Tampa, among full-time, year-round workers aged 15 years and older, males earned a median income of $67,963, while females earned $57,051, leading to a 16% gender pay gap among full-time workers. This illustrates that women earn 84 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Tampa, showcasing a consistent income pattern irrespective of employment status.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Tampa median household income by race. You can refer the same here